D. Adams

465 citations
24 papers · 390 · h-index 12

Impact in

Papers in

    • Genetic diversity and population structure 4
    • Virus-based gene therapy research 3
    • Bacteriophages and microbial interactions 3

D. Adams

24 papers receiving 344 citations

Peers

D. Adams
Comparison fields: 5 of 79
  • Virology 63
  • Endocrinology 45
  • Immunology 76
  • Hematology 34
  • Ecology 81
Replace Maja Ruetten with:
Maja Ruetten Switzerland
Philippe Chouteau France
Diane V. H. Hendrix United States
Andrei A. Deviatkin Russia
Malcolm Lawson Australia
Joe W. Templeton United States
Warren L. Simmons United States
Antonio Mori Italy
D. J. Kay Australia
Robert A. Kainer United States
D. Adams relative to Maja Ruetten Switzerland Maja Ruetten's profile →
Citations per field
00.5×2.8×
Maja Ruetten · 1×
Citations per year

Countries citing papers authored by D. Adams

Since Specialization
Citations

This map shows the geographic impact of D. Adams's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by D. Adams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Adams more than expected).

Fields of papers citing papers by D. Adams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Adams. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by D. Adams. The network helps show where D. Adams may publish in the future.

Co-authors

The 25 scholars most cited alongside D. Adams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Adams Line = papers co-authored together D. Adams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199160
2 198949
3 200047
4 198432
5 198329
6 198727
7 201225
8 201323
9 198517
10 202115
11 202112
12 201211
13 198310
14 20126
15 19815
16 20214
17 20164
18 19954
19
[Lacrimal gland hypertrophy: revealing sarcoidosis].
19993
20 19832

About D. Adams

D. Adams is a scholar working on Genetics, Ecology, Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 390 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (4 papers), Genetic diversity and population structure (4 papers), Aquaculture disease management and microbiota (3 papers), Fish Ecology and Management Studies (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Respiratory viral infections research (3 papers), Bacteriophages and microbial interactions (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Virology (63 citations), Endocrinology (45 citations), Immunology (76 citations), Hematology (34 citations) and Ecology (81 citations). D. Adams has collaborated with scholars based in United States, France and Australia. Frequent co-authors include H. M. Atkinson, V.B. Reddy, Changfu Wei, Gilles Fénelon, Françoise Gray, Romain K. Gherardi, Florence Mahieux, T J Trust, A Guillard and Jacques Poirier. Their work appears in journals such as Viruses, Journal of General Virology, Molecular Phylogenetics and Evolution, Investigative Radiology and Journal of Clinical Microbiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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